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Current Trends in Science and Technology

an Open Access Publication ISSN: 0976-9730 | 0976-9498

Engineering and Technology

Implementation of Twitter Based Event Detection System

Prof. Digambar Jadhav
Savitribai Phule Pune University, Pune
Ankit Kumar
Savitribai Phule Pune University, Pune
Mimansa Singh
Savitribai Phule Pune University, Pune
Rajan Yadav
Savitribai Phule Pune University, Pune
Shubham Ghare
Savitribai Phule Pune University, Pune
Online First: April 27, 2018
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Abstract

In this paper, a scheme is developed which can detect what happens in real world in real time only by analyzing tweets as Big Data and let a user know the event. The proposed scheme is mainly divided into three parts which are:



  1. Tweet Preprocessing (TP) : It uses Twitter Streaming API and the Morphological Analysis Engine for the purpose.2. Importance Degree Calculating (IDC) : It is designed for getting Extended Hybrid TF-IDF values of the nouns and an average of the values. 3. Remarkable Words Detecting (RMD) : is designed for detecting remarkable words based on currently gotten Extended Hybrid TF-IDF values and some averages of currently and previously gotten them. User can click on any of the remarkable words shown to see the tweets regarding it.The project aims to demonstrate how Twitter Data Analysis can be used to give a clear picture about a particular event, so that the user can get an overall idea about events happening currently.The contribution of our project towards the technology is that we are demonstrating how the power of Data Analytics can be used for the benets of the general public.

Keyword : TP (Tweet Processing), IDC (Importance Degree Calculating), RMD (Remarkable Words Detecting), TF-IDF.

  Submitted
Apr 26, 2018
Published
Apr 27, 2018
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References

1. Koichi Sato, Junbo Wanga and Zixue Cheng, ”Detecting Real-time Events using Tweet” 2016 IEEE Symposium Series on Computational Intelligence. 2. Rui LI, Kin Hou Lei, Ravi Khadiwala and Kevin Chen-Chuan Chang, ”TEDAS: a Twitter Based Event Detection and Analysis System”, 2012 IEEE 28th International Conference on Data Engineering. 3. Farzindar Atefeh, Wael Khreich,”A Survey of Techniques for Event Detection in Twitter ”, published by - Wiley Periodicals, Inc,September 2013 . 4. Kumar Shamanth, Liu Huan, Mehta Sameep, L. Venkata Subramaniyam, ” Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams”, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015. 5. ”Using TF-IDF to Determine Word Relevance in Document Queries”,by Juan Ramos, January 2003. 6. T. Sakaki, M. Okazaki and Y. Matsuo,”Earthquake shakes twitter users: Real-time event detection by social sensors”, Proc. 19th International Conference on WWW2010, 2010. 7. D. Inouye and J. K. Kalita, ”Comparing twitter summarization algorithms for multiple post summaries”, 2011 IEEE International Conference on Privacy Security Risk and Trust and IEEE International Conference on Social Computing, 2011.
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References

1. Koichi Sato, Junbo Wanga and Zixue Cheng, ”Detecting Real-time Events using Tweet” 2016 IEEE Symposium Series on Computational Intelligence.
2. Rui LI, Kin Hou Lei, Ravi Khadiwala and Kevin Chen-Chuan Chang, ”TEDAS: a Twitter Based Event Detection and Analysis System”, 2012 IEEE 28th International Conference on Data Engineering.
3. Farzindar Atefeh, Wael Khreich,”A Survey of Techniques for Event Detection in Twitter ”, published by - Wiley Periodicals, Inc,September 2013 .
4. Kumar Shamanth, Liu Huan, Mehta Sameep, L. Venkata Subramaniyam, ” Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams”, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015.
5. ”Using TF-IDF to Determine Word Relevance in Document Queries”,by Juan Ramos, January 2003.
6. T. Sakaki, M. Okazaki and Y. Matsuo,”Earthquake shakes twitter users: Real-time event detection by social sensors”, Proc. 19th International Conference on WWW2010, 2010.
7. D. Inouye and J. K. Kalita, ”Comparing twitter summarization algorithms for multiple post summaries”, 2011 IEEE International Conference on Privacy Security Risk and Trust and IEEE International Conference on Social Computing, 2011.
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  • Prof. Digambar Jadhav
  • Ankit Kumar
  • Mimansa Singh
  • Rajan Yadav
  • Shubham Ghare

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